Engineering responsibility in the age of AI: amelioration or preservation?

Responsibility gaps arise when harm is caused by autonomous systems and we are unable to appropriately assign moral responsibility for that harm. This occurs because (i) no human being can be held accountable given the autonomous nature of the system that created the harm; and (ii) the system itself lacks the relevant features to be considered a responsible agent. Neither the humans who developed and deployed the system nor the machines themselves are responsible. Hence, the gap arises: there is no one to be held responsible for the harm, yet (unlike cases of natural disasters) we have the intuition that someone should be responsible. In this paper, we tap into the literature on conceptual engineering to explore two strategies regarding this issue. On the one hand, we can identify the risks of gaps and attempt to ameliorate the concept of moral responsibility in the hope of removing them. On the other hand, we can highlight the risks of conceptual revision and aim to preserve our current concept as it is. In this paper we explore the underutilized strategy of preservation with respect to RESPONSIBILITY and highlight the upsides of such an approach.